Geometric particle swarm optimization (GPSO) is a recently introduced generalization of traditional particle swarm optimization (PSO) that applies to all combinatorial spaces. The...
Abstract. This paper addresses the problem of capturing rich, longterm personal activity logs of users’ interactions with their workstations, for the purpose of deriving predicti...
This paper is centered on the family of Dung’s finite argumentation frameworks when the attacks relation is symmetric (and nonempty and irreflexive). We show that while this fa...
Sylvie Coste-Marquis, Caroline Devred, Pierre Marq...
This study examines the utility of meta-grammar constant generation on a series of benchmark problems. The performance of the meta-grammar approach is compared to a grammar which ...
A number of recent studies introduced meta-evolutionary strategies and successfully used them for solving problems in genetic programming. While individual results indicate possib...